Sentient Science

Industry leader in advanced prognostic solutions

Expertise in tribology, physics and data science

Award winning solutions in Aerospace, Defense, Wind and Rail

DigitalClone and Industrial SaaS Powered by Physics and Data Science

Our applications are built off our platform which uses physics and data science based prognostics to reduce the operational costs of fielded assets by improving sustainability and reliability.

View Our Platform Offerings

Our Industry Solutions

Our SaaS Platform Solves Business Problems with Science

DigitalClone technology is transferable to any industrial or transportation application as it is rooted in simulating the failure process (lifecycle) over the lifetime of the asset under its unique operating conditions. By understanding how failure initiates and propagates in the asset, prescriptive life extension actions can be taken to mitigate risk of unplanned failure events.

Industry

Aerospace

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Industry

Wind Energy

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Industry

Rail

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Company History

Over 20 Years of Research and Development

Since 2001, Sentient Science has been devoted to extending remaining useful life of fielded assets and optimizing new product design and testing. It is this mission that has led to over 20 years of research and$22 million of competitive research and development funding for research and to validate our DigitalClone technology.

Awards

Year	Award by Agency	Phase	Program	Topic Code	Award Title
2021	Department of Defense	Phase II	SBIR	A19-140	Rolling/Sliding Contact Fatigue Life Physics and Modeling

2020	Department of Defense	Phase I	SBIR	A19-140	Rolling/Sliding Contact Fatigue Life Physics and Modeling

2020	NASA	Phase II	STTR	T12	A Multiscale Modeling Suite for Process and Microstructure Prediction in Metal Additive Manufacturing

2019	Department of Defense	Phase II	SBIR	A17-003	Development of In-Process Monitoring Closed-Loop Feedback for Use in Aluminum Alloy Additive Manufacturing (AM) Applications

2018	NASA	Phase I	STTR	T12	A Multiscale Modeling Suite for Process and Microstructure Prediction in Metal Additive Manufacturing

2018	Department of Defense	Phase I	STTR	N18A-T005	Innovative Processing Techniques for Additive Manufacture of 7000 Series Aluminum Alloy Components

2017	Department of Defense	Phase II	SBIR	N152-109	Reliability Centered Additive Manufacturing Design Framework

2017	Department of Defense	Phase I	SBIR	A17-003	Development of In-Process Monitoring Closed-Loop Feedback for Use in Aluminum Alloy Additive Manufacturing (AM) Applications

2017	Department of Defense	Phase II	SBIR	DLA-152-001	Advanced Manufacturing Technologies

2016	Department of Energy	Phase II	SBIR	9.01.06.73-R	Predictive Modeling Tools for Metal-Based Additive Manufacturing

2016	Department of Defense	Phase I	SBIR	N152-109	Reliability Centered Additive Manufacturing Design Framework

2015	Department of Defense	Phase I	SBIR	DLA-152-001	Advanced Manufacturing Technologies

2015	Department of Energy	Phase I	SBIR	9.01.06.73-R	Apply Modelica Language to Multi-physics Applications on HPC and Cloud Platforms

2015	Department of Energy	Phase I	SBIR	9.01.06.73-R	Predictive Modeling Tools for Metal-Based Additive Manufacturing

2014	Department of Defense	Phase I	STTR	N14A-T019	Bioelectronic Fusion Sensor System

2014	Department of Defense	Phase I	SBIR	AF141-075	Improved Design Package for Fracture Mechanics Analysis

2013	National Science Foundation	Phase II	SBIR	NM-1330900	SBIR Phase II: Analytical Modeling and Performance Prediction of Remanufactured Gearbox Components

2013	Department of Defense	Phase II	STTR	N11A-T007	Modeling to Quantify Improved Durability of Superfinish Gear Processing

2012	Department of Defense	Phase I	SBIR	A12-076	Advanced Seal Technology for Helicopter Drive System Application

2012	Department of Defense	Phase I	SBIR	A12-098	Multi-functional Integrated Drive System Sensor(MIDSS) for Rotorcraft

2012	Department of Defense	Phase I	SBIR	A12-022	Surface Engineering Technologies for Improved Gear Efficiency

2012	National Science Foundation	Phase I	SBIR	NM-1215280	SBIR Phase I: Analytical Modeling and Performance Prediction of Remanufactured Gearbox Components

2012	Department of Defense	Phase I	STTR	N12A-T010	Developing and validating a model to understand mixed lubrication regions for fluid-film bearings

2012	Department of Defense	Phase II	SBIR	A10-169	Fatigue Crack Initiation Prediction Tool for Rotorcraft Spiral Bevel Gears

2011	Department of Defense	Phase I	STTR	N11A-T007	Modeling to Quantify Improved Durability of Superfinish Gear Processing

2011	Department of Defense	Phase II	SBIR	N101-006	Prognostic & Health Management (PHM) Technologies for Unmanned Aerial Vehicles (UAV)Optimized PHM System for Unmanned Aerial Vehicles

2011	Department of Defense	Phase II	SBIR	N093-170	Spline Health Prognosis via Physics Based Modeling Coupled with Component Level Tests

2010	Department of Defense	Phase I	SBIR	A10-169	Fatigue Crack Initiation Prediction Tool for Rotorcraft Spiral Bevel Gears

2010	Department of Defense	Phase II	SBIR	AF073-135	Vibration Analysis of Rotating Plant Machinery

2010	Department of Defense	Phase II	SBIR	N091-017	Gearbox Load and Life Simulation Software

2010	Department of Defense	Phase I	SBIR	N101-006	Prognostic & Health Management (PHM) Technologies for Unmanned Aerial Vehicles (UAV)Optimized PHM System for Unmanned Aerial Vehicles

2010	NASA	Phase I	SBIR	A209	Enhanced Prediction of Gear Tooth Surface Fatigue Life

2010	Department of Defense	Phase I	SBIR	N093-170	Spline Health Prognosis via Physics Based Modeling Coupled with Component Level Tests

2009	Department of Defense	Phase I	SBIR	N091-017	Gearbox Load and Life Simulation Software

2008	Department of Defense	Phase I	SBIR	N08-122	Advanced Intelligent Web-Based Options to Acquire and Analyze Aircraft Health and Test Data

2008	Department of Defense	Phase I	SBIR	AF073-135	Vibration Analysis of Rotating Plant Machinery

2007	Department of Defense	Phase II	SBIR	N06-023	Automated Reasoner Technology for Managing Military Aircraft

2007	Department of Defense	Phase II	SBIR	AF06-094	High Performance Cage Sensors for Rolling Element Bearing Health Monitoring

2007	Department of Defense	Phase II	SBIR	AF06171	Health Management for Gas Turbine Engine Accessory Components

2007	Department of Defense	Phase II	SBIR	N05-094	Embedded Health Monitoring for Propulsion Control System Actuators

2007	NASA	Phase II	SBIR	A104	Model Updating in Online Aircraft Prognosis Systems

2006	Department of Defense	Phase I	SBIR	N06-108	Cognitive Technology for Advanced Maintenance

2006	Department of Defense	Phase I	STTR	N06-T007	Aircraft Electrical Power System Diagnostics and Health Management

2006	NASA	Phase I	SBIR	05-II A1.04	Model Updating and Uncertainty Management for Aircraft Prognostic Systems

2006	Department of Defense	Phase I	SBIR	AF06-094	High Performance Cage Sensors for Rolling Element Bearing Health Monitoring

2006	Department of Defense	Phase I	SBIR	N06-023	Automated Reasoner Technology for Managing Military Aircraft

2006	Department of Defense	Phase I	SBIR	AF06-171	Health Management for Gas Turbine Engine Accessory Components

2006	NASA	Phase I	SBIR	A104	Model Updating in Online Aircraft Prognosis Systems

2005	Department of Defense	Phase II	SBIR	A04-077	Prognostic Wear Prediction Tool for BlackHawk Hanger Bearings

2005	Department of Defense	Phase I	SBIR	N05-104	Effective Diagnostics for Dynamic Operating Environments

2005	Department of Defense	Phase I	SBIR	N05-089	Innovative Materials/Concepts for Grease Lubricated Bearings

2005	Department of Defense	Phase II	STTR	MDA04-T022	Strategic Monitoring of Spacecraft Mechanical Parts Assemblies

2005	Department of Defense	Phase I	SBIR	N05-094	Embedded Health Monitoring for Propulsion Control System Actuators

2005	Department of Defense	Phase II	SBIR	N04-028	Validation Tools and Data for PHM Technologies

2005	Department of Defense	Phase I	SBIR	AF05-188	Methodology for the Real-Time Management of Aero Gas Turbine Engine Usage Data

2005	Department of Defense	Phase I	SBIR	A04-077	Prognostic Wear Prediction Tool for BlackHawk Hanger Bearings

2004	Department of Defense	Phase I	STTR	MDA04-T022	Strategic Monitoring of Spacecraft Mechanical Parts Assemblies

2004	Department of Defense	Phase I	SBIR	N04-028	Validation Tools and Data for PHM Technologies

2004	Department of Defense	Phase II	SBIR	N02-195	Fault-to-Failure Progression Modeling of Propulsion System and Drive Train Bearings for Prognostic and Useful Performance Life Remaining Predictions

2002	Department of Defense	Phase I	SBIR		Fault-to-Failure Progression Modeling of Propulsion System and Drive Train Bearings for Prognostic and Useful Performance Life Remaining Predictions

“Under current paradigm, every system is so unique that going through the qualification process is costly. Computational testing holds promise to reduce the costs, but there are still any uncertainties. Eventually, we’ll get there”
Bradley Miller, Aviation Development Directorate
“We’re trying to help make better helicopters for the general public, and in the helicopter world, gears are very important. When the DigitalClone results came in, and the correlation was so good, the company president got very excited about what his guys had been developing.”
Tim Krantz, Glenn Research Center
“Sentient Science is a prime example of businesses that drives Governor Cuomo’s vision for redevelopment in Western New York and we congratulate them on this global acknowledgement”
Kathy Hochul, Lt. Governor of New York State
“It is the innovative entrepreneurs and high growth businesses like Sentient Science who help power our economy and more it forward by creating new jobs and making out industries globally competitive.”
Maria Contreas-Sweet, SBA Administrator